%0 Conference Proceedings
%T GPU Memory Management Solution Supporting Incomplete Pages
%+ National University of Defense Technology [China]
%A Shen, Li
%A Zhang, Shiqing
%A Yang, Yaohua
%A Wang, Zhiying
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Network and Parallel Computing (NPC)
%C Muroran, Japan
%Y Feng Zhang
%Y Jidong Zhai
%Y Marc Snir
%Y Hai Jin
%Y Hironori Kasahara
%Y Mateo Valero
%I Springer International Publishing
%3 Network and Parallel Computing
%V LNCS-11276
%P 174-178
%8 2018-11-29
%D 2018
%R 10.1007/978-3-030-05677-3_20
%Z Computer Science [cs]Conference papers
%X Despite the increasing investment in integrated GPUs and next-generation interconnect research, discrete GPUs connected by PCI Express still account for the dominant position of the market, the management of data communication between CPU and GPU continues to evolve. This paper analyze the address translation overhead and migration latency introduced by this paged memory management solution in CPU-GPU heterogeneous systems. Based on the analysis, a new memory management scheme is proposed: paged memory management solution supporting incomplete pages, which can limit both address translation overhead and migration delay. “Incomplete” refers to a page that has only been partially migrated. This new memory management solution modifies the address translation and data migration process with only minor changes in hardware.
%G English
%Z TC 10
%Z WG 10.3
%2 https://inria.hal.science/hal-02279539/document
%2 https://inria.hal.science/hal-02279539/file/477597_1_En_20_Chapter.pdf
%L hal-02279539
%U https://inria.hal.science/hal-02279539
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC10
%~ IFIP-NPC
%~ IFIP-WG10-3
%~ IFIP-LNCS-11276